Design and evaluation of a person-centric heart monitoring system over fog computing infrastructure

Heart disease and stroke are becoming the leading cause of death worldwide. Electrocardiography monitoring devices (ECG) are the only tool that helps physicians diagnose cardiac abnormalities. Although the design of ECGs has followed closely the electronics miniaturization evolution over the years, existing wearable ECG have limited accuracy and rely on external resources to analyze the signal and evaluate heart activity. In this paper, we work towards empowering the wearable device with processing capabilities to locally analyze the signal and identify abnormal behavior. The ability to differentiate between normal and abnormal heart activity significantly reduces (a) the need to store the signals, (b) the data transmitted to the cloud and (c) the overall power consumption. Based on this concept, the HEART platform is presented that combines wearable embedded devices, mobile edge devices, and cloud services to provide on-the-spot, reliable, accurate and instant monitoring of the heart. The performance of the system is evaluated concerning the accuracy of detecting abnormal events and the power consumption of the wearable device. Results indicate that a very high percentage of success can be achieved in terms of event detection ratio and the device being operative up to a several days without the need for a recharge

An IoT-based solution for monitoring a fleet of educational buildings focusing on energy efficiency

Raising awareness among young people and changing their behaviour and habits concerning energy usage iskey to achieving sustained energy saving. Additionally, young people are very sensitive to environmental protection so raising awareness among children is much easier than with any other group of citizens. This work examinesways to create an innovative Information & Communication Technologies (ICT) ecosystem (including web-based, mobile, social and sensing elements) tailored specifically for school environments, taking into account both theusers (faculty, staff, students, parents) and school buildings, thus motivating and supporting young citizenś behavioural change to achieve greater energy efficiency. A mixture of open-source IoT hardware and proprietary platforms on the infrastructure level, are currently being utilized for monitoring a fleet of 18 educational buildings across 3 countries, comprising over 700 IoT monitoring points. Hereon presented is the system's high-level architecture, as well as several aspects of its implementation, related to the application domain of educational building monitoring and energy efficiency. The system is developed based on open-source technologies andservices in order to make it capable of providing open IT-infrastructure and support from different commercial hardware/sensor vendors as well as open-source solutions. The system presented can be used to develop and offer newapp-based solutions that can be used either for educational purposes or for managing the energy efficiency ofthebuilding. The system is replicable and adaptable to settings that may be different than the scenarios envisionedhere (e.g., targeting different climate zones), different IT infrastructures and can be easily extended to accommodate integration with other systems. The overall performance of the system is evaluated in real-world environment in terms of scalability, responsiveness and simplicity

City Data Fusion: Sensor Data Fusion in the Internet of Things

Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. We introduce the concept of IoT and present in detail ten different parameters that govern our sensor data fusion evaluation framework. We then evaluate the current state-of-the art in sensor data fusion against our sensor data fusion framework. Our main goal is to examine and survey different sensor data fusion research efforts based on our evaluation framework. The major open research issues related to sensor data fusion are also presented.Comment: Accepted to be published in International Journal of Distributed Systems and Technologies (IJDST), 201

Securing IoT with Trusted Authority Validation in Homomorphic Encryption Technique with ABE

Existing security system includes levels of encryption. IoT access is very important aspect. Failure of IoT security can cause more risks of physical and logical damage. IoT contain both functionalities including physical or computational process. In proposed approach, levels of encryption are enhanced by increasing levels of security. User can access IoT through central trusted authority only. Instead of actual data like user credentials or I/O functionality of Internet of things, encrypted data is delivered. Trusted authorities are been involved in secured IoT access structure by considering their credentials. Trusted authority is selected randomly, based on randomized selection algorithm. Based on secured logic, decryption key will be delivered to the IoT through separate channel by trusted authority. Session management has been added by considering initial and waiting time after which all encryption or decryption data will be expired. Homomorphism is applied in encryption process where proposed logic is applied on considered data after which again RSA algorithm is applied. Overall, proposed logical approach, homomorphism, session management, secured access structure and trusted authority involvement improves the security level in IoT access process

Intelligent Transportation System for Smart-Cities using Fuzzy Logic

According to United Nations population statistics 2017, the world population is 7.6 billion and is growing rapidily alomost 11 billion by end of 21 century with a 70% chance of continued growth, this rapid increasing population have created low standards of living in cities. Smart Cities are facing pressures associated with due innovations and globalization to improve their citizens life. Computational intelligence is the study of adaptive mechanism to facilitate intelligent behavior in changing and complex environments. Traffic congestion and monitoring has become one of the critical issues in big cities. The adaptive mechanism of computational intelligence in changing the behavior of complex environments of smart city is very effective. The developing framework and services for smart-city requires sound infrastructure, latest current technology adoption. A framework model with the integration of cloud-data, social network (SN) services that is collecting stream data with smart sensors in the context of smart cities is proposed. The adaptive mechanism of computational intelligence in changing thebehavior of complex environments of smart city is very effective. A radical framework that enables the analysis of big-data sets stemming from Social Networking (SN) sites. Smart cities understanding is a broad concept only city transportation sector is focused in this article. Fuzzy logic modeling techniques are used in many fields i.e. medical, engineering. business and computing related problems. To solve various traffic management issues in cities a detailed analysis of fuzzy logic system is proposed. This paper presents an analysis of the results achieved using Fuzzy Logic System (FLS) for smart cities. The results are verified using MATLAB Simulation

IOT INTEGRATED SMART STREET FURNITURE: A CASE STUDY OF UNIVERSITY, INDUSTRY AND LOCAL GOVERNMENT COLLABORATION

This article discusses the design process and pilot program of a suite of IoT-integrated street furniture aimed to improve use and amenity of municipality assets in public open spaces in Sydney, Australia. Networked sensors were embedded in the furniture and linked to a web-based dashboard application enabling a digital twin of the asset to monitor and analyze how and when the furniture was used. The prototype and modifications to existing furniture designs provided additional utility for the local community through lighting, free wi-fi access, power outlets, USB charging, water, a weather station and bench space. Outcomes of the street-furniture installation revealed innovative protocols for design-development teams and asset managers to review product performance and efficiency. This article presents a collaborative government/industry/university project that has been recognized by The World Bank for intelligent neighborhood design practices and by the Planning Institute of Australia for its novel approach to community social infrastructure

Availability of Facilities in Public Open Spaces to Support Tourism Programs

Regional development through the tourism sector is not only related to the provision of employment and regional investment. However, it is also related to the availability of public facilities. Good management of public facilities and friendly to children and the environment is directly a part of tourism development. This study uses a qualitative approach in an effort to explain the availability of public facilities in open spaces to support tourism programs in Manado City. Research findings that public open spaces in Manado City have not met the needs in terms of the amount of space and functions and facilities that have not taken into account social, economic, environmental, and educational aspects. The management of very limited facilities has resulted in public open space that should be used as a medium for promoting tourism objects in supporting tourism programs through the smart city concept

How do smart building projects define and deliver value? A classification of business modelling characteristics to support design and development

Both public administrations and real estate developers have been investing in innovative Smart Building projects to reduce energy consumption while improving housing quality and occupant comfort. Despite a booming market and an ever-growing academic interest in Smart Building technologies, few studies are available to understand the value generated by Smart Building projects and how these initiatives are able to achieve business success and distribute value to their stakeholders. To fill this gap, this study presents an empirical analysis of 300 Smart Building projects implemented internationally. The projects’ characteristics have been analyzed on a business model framework in order to identify general concepts and discarding redundant information. The result of this effort has been a classification of business modelling characteristics able to illustrate the main value and business objectives pursued by Smart Buildings projects and the strategies through which these projects distribute and deliver value to their customers and stakeholders. This study presents two main implications. First, it helps scholars in their study on the development and implementation of Smart Building projects. Second, it supports the decision-making processes of both public and private developers acting as a collection of best practices for the design and development of Smart Building initiatives